82 research outputs found
Osmotic and heat treatments on control of fungi associated with seeds of Eugenia brasiliensis and E. pyriformis (Myrtaceae)
A review on probabilistic graphical models in evolutionary computation
Thanks to their inherent properties, probabilistic graphical models are one of the prime candidates for machine learning and decision making tasks especially in uncertain domains. Their capabilities, like representation, inference and learning, if used effectively, can greatly help to build intelligent systems that are able to act accordingly in different problem domains. Evolutionary algorithms is one such discipline that has employed probabilistic graphical models to improve the search for optimal solutions in complex problems. This paper shows how probabilistic graphical models have been used in evolutionary algorithms to improve their performance in solving complex problems. Specifically, we give a survey of probabilistic model building-based evolutionary algorithms, called estimation of distribution algorithms, and compare different methods for probabilistic modeling in these algorithms
Tratamentos osmóticos e térmicos para controle de fungos em sementes de grumixameira (Eugenia brasiliensis Lam.) e pitangueira (Eugenia uniflora L.)
Medidas biométricas obtidas in vivo e na carcaça de ovelhas de descarte em diferentes estågios fisiológicos
Produção e acĂșmulo de nutrientes em povoamento de eucalipto em consequĂȘncia da intensidade do desbaste e da fertilização
Prevalence and etiology of buffalo mastitis and milk somatic cell count in dry and rainy seasons in a buffalo herd from AnalĂąndia, SĂŁo Paulo State, Brazil
Performance and carcass traits of Santa InĂȘs lambs finished with different sources of forage
Predation on young treefrog (Osteocephalus taurinus) by arthropods (Insecta, Mantodea and Arachnida, Araneae) in Central Brazil
Potencial de rizobactérias na promoção de crescimento e controle da podridãoradicular em alface hidropÎnica
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